Detecting faces in noisy images
نویسندگان
چکیده
The aim of this paper is to detect faces in noisy images. All the test images contain faces with uniform background. The Hit-Miss transform is used to detect the boundaries of the objects and eliminate the effect of noise. Two filters are cascaded in a special way as to handle high levels of noise. An application for face detection in noisy conditions is presented. The algorithm is implemented on faces taken from the Manchester face database after adding Gaussian noise to them.
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تاریخ انتشار 2001